Health AI Central
Peer-Reviewed Publication
Eur Radiol2026October 13, 2026Journal Article

Prevalence and predictors of silent vertebral compression fractures using DXA: a UK Biobank Imaging Study.

David John Wilson1,2, Richard William Whitehouse3, Georgina Marian Allen4, Fiona Saunders5, Iain Wilson6, Richard Abel7
1Imperial College London, London, UK. david@slro.co.uk.
2University of Oxford, Oxford, UK. david@slro.co.uk.
3Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
4Green Templeton College, University of Oxford, Oxford, UK.
5Aberdeen Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen, UK.
6Oxehealth, Oxford, UK.
7Faculty of Medicine, Imperial College London, London, UK.
PubMed DOI

Abstract

OBJECTIVES: Silent vertebral fractures are common but under-recognised. We aimed to estimate the prevalence in an asymptomatic population and to identify demographic and clinical predictors using the UK Biobank data. MATERIALS AND METHODS: DXA spine images from 2446 asymptomatic UK Biobank participants aged 40-79 years were analysed retrospectively. Vertebral fractures were defined as moderate or…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.